Instructions to use d8912046/llama-3-8b-chat-doctor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use d8912046/llama-3-8b-chat-doctor with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("d8912046/llama-3-8b-chat-doctor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from d8912046/llama-3-8b-chat-doctor: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/d8912046/llama-3-8b-chat-doctor/resolve/main/tokenizer.json
- Command line
-
hf download hf://d8912046/llama-3-8b-chat-doctor/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/d8912046/llama-3-8b-chat-doctor/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 5e3e373a1f2d2f9fae1f93c3059d8c606b200262dc77747183b0afdf42114b10
- Size of remote file:
- 17.2 MB
- SHA256:
- 1958056134f38ea7e05d83642ea6ba451364a4a82968dd9d3f9bcbcf2a1d3540
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.